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ai-humanizerAI 人性化器

Agent Skill

ai-humanizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,257

周安装

54

GitHub Stars

公开资料未说明

下载量

441
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-humanizer(AI 人性化器)
来源仓库:https://github.com/ofershap/ai-humanizer
仓库路径:skills/ai-humanizer
安装命令:
npx skills add https://github.com/ofershap/ai-humanizer --skill ai-humanizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ofershap/ai-humanizer --skill ai-humanizer

简介

ai-humanizer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于 AI 人性化处理、内容优化和信息筛选等研究检索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法和功能边界。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

When to use

Use this skill whenever generating or editing prose: READMEs, documentation, commit messages, PR descriptions, code comments, blog posts, or any text a human will read. It prevents the patterns that AI detectors flag and that experienced developers recognize as machine-generated.

Critical Rules

1. Never use em dashes for separation

AI pattern (detectors flag this):

typescript-best-practices — enforces current best practices
Use satisfies for type checking — never use "as" for assertions

Human pattern:

typescript-best-practices - enforces current best practices
Use satisfies for type checking. Never use "as" for assertions.

Why: Em dashes (—) are the single strongest AI writing signal. AI uses them 5-10x more than humans. Use hyphens with spaces (-), periods, or restructure the sentence.

2. Never use flagged vocabulary

These words appear 50-700x more often in AI text than human text. Never use them:

Importance/puffery: paramount, pivotal, meticulous, holistic, robust, crucial, comprehensive, intricate, multifaceted, indispensable

Filler verbs: delve, leverage, utilize, facilitate, streamline, optimize, elevate, empower, harness, foster, bolster, spearhead

Marketing fluff: seamless, cutting-edge, game-changing, revolutionary, groundbreaking, best-in-class, future-ready, scalable, next-generation

Fabric metaphors: tapestry, landscape, ecosystem, paradigm, synergy

Use instead: plain words. "important" not "paramount". "careful" not "meticulous". "complete" not "comprehensive". "use" not "leverage". "improve" not "optimize".

3. Never use AI opening/closing cliches

Never open with:

  • "In today's fast-paced world..."
  • "In an ever-changing landscape..."
  • "In the realm of..."
  • "Let me explain..."
  • "Without further ado..."
  • "At its core..."

Never close with:

  • "In summary..." / "In conclusion..."
  • "By following these best practices..."
  • "This approach ensures..."
  • "Happy coding!"

Instead: Start with what the thing does. End when you're done.

4. Vary sentence length and structure (burstiness)

AI pattern (low burstiness, uniform 12-18 word sentences):

This plugin enforces security best practices for your codebase. It catches common
vulnerabilities that AI agents introduce. The rules run automatically on every file.
Each rule includes examples of correct and incorrect patterns.

Human pattern (mixed lengths, natural rhythm):

Catches security issues AI agents introduce. Runs on every file automatically.

Each rule shows what's wrong and how to fix it - with real code, not theory.

Why: Detectors measure "burstiness" - variation in sentence length. Humans naturally mix short punchy lines with longer ones. AI keeps them uniform.

5. Never add narrating comments in code

AI pattern:

// Import the database client
import { db } from "./db";

// Define the user type
type User = { id: string; name: string };

// Fetch the user from the database
async function getUser(id: string): Promise<User> {
  // Query the database for the user
  const result = await db.query("SELECT * FROM users WHERE id = $1", [id]);
  // Return the first result
  return result.rows[0];
}

Human pattern:

import { db } from "./db";

type User = { id: string; name: string };

async function getUser(id: string): Promise<User> {
  const result = await db.query("SELECT * FROM users WHERE id = $1", [id]);
  return result.rows[0];
}

Why: Humans only comment non-obvious things. Narrating what each line does is the strongest AI code signal.

6. Never add git co-author trailers

Never do:

git commit --trailer "Co-authored-by: Cursor <cursoragent@cursor.com>"

Never include in commit messages:

Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: GitHub Copilot <copilot@github.com>
Generated-by: Claude

Why: These trailers permanently mark commits as AI-generated in git history. They cannot be removed without rewriting history.

7. Write commit messages like a human

AI pattern:

feat: implement comprehensive user authentication system with JWT tokens

This commit introduces a robust authentication module that leverages
JSON Web Tokens for secure session management. The implementation
includes middleware for route protection, token refresh logic, and
comprehensive error handling.

Human pattern:

add JWT auth

Middleware for protected routes, token refresh, error handling.

Why: AI commits are verbose, use conventional-commit prefixes religiously, and describe the "what" in marketing language. Humans are terse.

8. Never use uniform formatting patterns

AI patterns to avoid:

  • Every section has exactly 3 bullet points
  • Every bullet starts with a bold word: Feature: description
  • Perfect parallel structure in every list
  • Tricolon structures: "research, collaboration, and problem-solving"
  • Negative parallelisms: "It's not about X; it's about Y"
  • Every paragraph is the same length

Instead: Let lists be uneven. Some bullets are one word, some are a sentence. Not everything needs a bold label.

9. Never use excessive markdown formatting

AI pattern:

## Overview

This **powerful** tool provides **seamless** integration with your **existing** workflow. Key
**features** include:

- **Fast** - Lightning-quick processing
- **Reliable** - Battle-tested in production
- **Simple** - Zero configuration needed

Human pattern:

## Overview

Integrates with your existing workflow. Fast, reliable, zero config.

Why: AI over-bolds, over-lists, and over-structures. Humans use formatting sparingly.

10. Never use hedging or over-politeness

AI pattern:

It's worth noting that this approach might potentially help improve
performance in certain scenarios. You may want to consider...

Human pattern:

This improves performance.

Why: AI hedges constantly with "might", "potentially", "it's worth noting", "you may want to consider". Humans state things directly.

Patterns

Good README structure

  • Start with one sentence saying what it does
  • Install instructions (copy-paste ready)
  • Short "what's included" list
  • 3-5 bullet points on why it exists (specific problems, not marketing)
  • License

Good commit messages

  • Lowercase, no period at end
  • Under 50 chars for subject
  • Body only when the "why" isn't obvious
  • No conventional-commit prefix unless the project requires it

Good code comments

  • Only explain WHY, never WHAT
  • Reference ticket numbers, external docs, or non-obvious constraints
  • No banners, no section dividers, no ASCII art

Good PR descriptions

  • What changed (files/areas)
  • Why (link to issue or one sentence)
  • How to test
  • No "this PR introduces a comprehensive..."

Anti-Patterns

Words to never use in prose

delve, tapestry, leverage, utilize, facilitate, streamline, paramount, pivotal, meticulous, holistic, robust, comprehensive, multifaceted, harness, foster, bolster, spearhead, seamless, cutting-edge, game-changing, revolutionary, groundbreaking, indispensable, nuanced, intricate, elevate, empower, unleash, supercharge

Phrases to never use

  • "In today's [adjective] world/landscape"
  • "It's important/worth noting that"
  • "This ensures that"
  • "By leveraging/harnessing"
  • "A [adjective] approach to"
  • "From X to Y" (false ranges)
  • "Not just X, but Y"
  • "At the end of the day"
  • "Happy coding/building!"
  • "Let's dive in"

Structural patterns to never use

  • Em dashes (—) as separators
  • Tricolons in every list ("X, Y, and Z")
  • Uniform paragraph/bullet lengths
  • Bold-label bullets: Feature: description
  • Opening with a question: "Ever wondered how...?"
  • Closing with a call to action: "Start using X today!"

Git patterns to never use

  • Co-authored-by trailers for AI tools
  • Verbose conventional commits with marketing descriptions
  • "Generated by" or "Created with" attribution in files

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.14%
按下载量换算159

Claude

31.39%
按下载量换算138

Cursor

19.07%
按下载量换算84

Gemini CLI

9.55%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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